解决多接触滚动机器人在无滑动约束下的路径规划难题
A Unified Framework for Multi-Contact Path Planning in the Rolling Robot Systems

- 基于蒙塔纳接触坐标法建立紧凑运动模型,用五维向量表征每个接触点
- 在球面接触流形上构建带碰撞检测的Voronoi路网,实现平滑路径优化
- 适用于球形滚动机器人,可扩展至非球形和动态环境,适合实验验证
滚动运动规划因滚动接触引入非完整约束且构型演化于曲面流形而具有挑战性。多接触情形下,多个体无滑滚动且接触状态相互耦合,问题更为复杂。本文提出一种针对无滑动约束下球形滚动机器人的多接触路径规划统一框架。首先采用蒙塔纳接触坐标法推导多球滚动的紧凑运动模型,每个接触点由五维状态向量表示。在此基础上,直接在球面接触流形上构建基于Voronoi的路网,通过流形内碰撞检测引入球帽障碍物与互斥区域,并利用流形一致的对数-指数平滑方法优化离散图路径。最终通过所推导的蒙塔纳运动学将平滑表面路径映射为合法的多接触滚动运动,并经前向仿真验证。进一步评估了路径可行性、质量与轨迹平滑度、Voronoi种子密度及计算时间的关系。该框架为扩展至非球形几何、时变障碍环境及物理平台实验验证提供了基础。
原文摘要 · Abstract (English)
Rolling motion planning is challenging because rolling contact imposes nonholonomic constraints and the configuration evolves on a curved manifold. The problem becomes substantially harder in multi-contact settings, where multiple bodies roll without slip and the contact states are coupled. This paper presents a new framework for multi-contact path planning in spherical rolling robotics under no-slip constraints. We first derive a compact kinematic model for multi-sphere rolling using Montana's contact-coordinate formulation, where each contact is represented by a stacked five-state vector. Building on this model, we construct a Voronoi-based roadmap directly on the spherical contact manifold, incorporating spherical-cap obstacles and mutual-exclusion regions via on-manifold collision checking, and refine discrete graph paths using manifold-consistent log-exp smoothing. The resulting smoothed surface paths are then lifted to admissible multi-contact rolling motions through the derived Montana kinematics and validated via forward simulation. We further evaluate feasibility and path quality versus trajectory smoothness, Voronoi seed density, and computation time. The proposed framework provides a foundation for extending the method to non-spherical geometries, time-varying obstacle environments, and experimental validation on physical rolling robotic platforms.
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